AI promises to transform audit, but to deploy it effectively firms must not skip the data layer.
Why independent, direct-source verification is the prerequisite for any AI capability worth trusting.
What good looks like in 2026 audit ops:
Reliable, direct-from-source data as a foundation
Standardised engagement workflows
Real-time oversight across teams
Meaningful, independently verified, AI-powered insights.
Mid-tier renaissance: moving from compliance-only to a data-led advisory model at scale.
People-first technology: using systems to empower teams, standardise delivery, and improve client experience, not “shiny tools”.
Change at speed: lessons from Azets’ expansion and rebrand, how to operationalise agility while protecting margin and quality.
AI is raising the stakes; deciding what to automate, what stays human-led, and how to spot/challenge AI errors fast.
The “Super Accountant”; strong critical/ ethical judgment, AI power-user skills, agile, people-first leadership.
Leadership against the backdrop of rapid tech transformation; ensuring inclusivity and diversity are embedded within cross-functional teams.
How to measure the impact of learning and a retain focus on its value in an agile, AI-driven profession.
When a transformative technology arrived in American factories, owners adopted it immediately — and stalled for thirty years. The technology wasn’t the problem. The thinking was.
AI in accounting is at exactly the same inflection point. And most firms are making the same mistake.
A technology executive’s outside view on why the profession’s biggest competitive advantage in the AI era has nothing to do with AI.
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